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  1. 81

    RELAPSES AFTER RADICAL SUBCUTANEOUS/SKIN-SPARING MASTECTOMY WITH SIMULTANEOUS RECONSTRUCTION IN BREAST CANCER by A. D. Zikiryakhodzhayev, E. A. Rasskazova, A. Yu. Tukmakov, I. M. Shirokikh

    Published 2019-04-01
    “…Reconstruction was carried out by autotissues, expanders, followed by replace­ment with endoprostheses, as well as a combination of flaps and endoprostheses. …”
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    Article
  2. 82

    DSGAU: Dual-Scale Graph Attention U-Nets for Hyperspectral Image Classification With Limited Samples by Hongzhuang Ji, Leying Song, Zhaohui Xue, Hongjun Su

    Published 2025-01-01
    “…To this challenge, graph pooling effectively mitigates the high computational costs of GCNs through hierarchical downsampling, adaptive node selection, and feature preservation mechanisms. …”
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  3. 83

    Self-Loosening Failure Analysis of Bolt Joints under Vibration considering the Tightening Process by Yan Chen, Qiang Gao, Zhenqun Guan

    Published 2017-01-01
    “…The results show that the tightening process cannot be replaced by a simplified method because its fastening state is different from the real process. …”
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  4. 84

    RWP-NSGA II: Reinforcement Weighted Probabilistic NSGA II for Workload Allocation in Fog and Internet of Things Environment by Hafsa Raissouli, Samir Brahim Belhaouari, Ahmad Alauddin Bin Ariffin

    Published 2024-01-01
    “…This study investigates workload allocation in the IoT node and the fog nodes by optimizing delay and energy consumption. …”
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    Article
  5. 85

    Electric Vehicle and Soft Open Points Co-Planning for Active Distribution Grid Flexibility Enhancement by Jie Fang, Wenwu Li, Dunchu Chen

    Published 2025-02-01
    “…Finally, the optimization method proposed in this paper is analyzed and validated on an improved IEEE 33-node distribution system. …”
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    Article
  6. 86

    Morphological and immunohistochemical features of placenta in postpartum women with hyperprolactinemia history by T. D. Zadorozhna, E. V. Kolomiiets, L. Ye. Tumanova, S. M. Kylykhevych

    Published 2020-12-01
    “…In some observations, a decrease in the number of syncytial nodes and syncytiocapillary membranes was noted in the terminal villi. …”
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  7. 87

    Data Learning-based Frequency Risk Assessment in a High-penetrated Renewable Power System by Jiaxin WEN, Siqi BU, Qiyu CHEN, Bowen ZHOU

    Published 2021-02-01
    “…Renewable energy is gradually replacing traditional power plants to provide electricity for users, but it also brings potential risks to the safe operation of the power grid. …”
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  8. 88

    Modern options of endoscopic retrograde stenting of bile ducts in treatment of obstructive jaundice at malignant pancreatobiliary tumors by S. A. Budzinsky, S. G. Shapovalyants, Ye. D. Fedorov, A. G. Mylnikov, D. V. Bakhtiozina

    Published 2014-11-01
    “…In 230 (80,1%) of them endoscopic aid was final treatment method of late-stage neoplastic process in inoperable patients. …”
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  9. 89

    Methodology of Determining the Location of the Distribution Center of Material Flows in a Combined Scheme of Goods Delivery by Svetlana A. Zhestkova

    Published 2025-04-01
    “…There is no road between the center of gravity and the nodes. Therefore, ring routes are calculated that originate from nodal points using the method of fictitious nodes and branches. …”
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  10. 90

    Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

    Published 2025-01-01
    “…ObjectiveStructural parameter identification based on swarm intelligent optimization methods has become one of the popular methods for finite element model modification. …”
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  11. 91

    Elastodynamic modeling and analysis of a 4SRRR overconstrained parallel robot by B. Wang, Y. Zhao, C. Yang, X. Hu, Y. Zhao

    Published 2025-02-01
    “…First, Timoshenko beam elements, which consider shear deformation, are used to replace Euler–Bernoulli beam elements, and the dynamic control equations for each element are established. …”
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    Article
  12. 92

    Extension of Distribution Transformer Life in the Presence of Smart Inverter-based Distributed Solar Photovoltaic Systems by Kanhaiya Kumar, Saran Satsangi, Ganesh Balu Kumbhar

    Published 2024-01-01
    “…The central objective of this paper is to propose a methodology to quantify the effect of smart inverter-based distributed SPV systems on the aging of distribution transformers. The proposed method is first tested on a modified IEEE-123 node distribution feeder. …”
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  13. 93

    About One Variational Problem, Leading to а Biharmonic Equation, and about the Approximate Solution of the Main Boundary Value Problem for this Equation by I. N. Meleshko, P. G. Lasy

    Published 2022-06-01
    “…To do this, a grid with cells of small diameter is thrown onto the circle, and at each grid node all partial derivatives of the problem are replaced by their finite-difference relations.  …”
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  14. 94

    Lossless Compression with Trie-Based Shared Dictionary for Omics Data in Edge–Cloud Frameworks by Rani Adam, Daniel R. Catchpoole, Simeon J. Simoff, Zhonglin Qu, Paul J. Kennedy, Quang Vinh Nguyen

    Published 2025-04-01
    “…A lightweight index derived from this dictionary is then pushed to edge nodes, where Trie-based sequence replacement is applied to eliminate redundancy locally. …”
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  15. 95

    Multi-Time Scale Optimal Dispatch of Distribution Network with Pumped Storage Station Based on Model Predictive Control by Pengyu Pan, Zhen Wang, Gang Chen, Huabo Shi, Xiaoming Zha

    Published 2024-11-01
    “…Day-ahead optimal dispatch is established with the objective of minimizing the operation economy and node voltage deviation of the distribution network. …”
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  16. 96

    Spatiotemporal distribution patterns of cephalopods and their responses to changes in the marine environment in the coastal waters of Zhejiang, China by Jun Liang, Jun Liang, Yongdong Zhou, Yongdong Zhou, Tian Wu, Feng Chen, Feng Chen, Kaida Xu, Kaida Xu, Guangjie Fang, Yazhou Zhang, Yazhou Zhang

    Published 2025-01-01
    “…IntroductionLike pelagic fishes, cephalopods represent fishery resources with high worldwide potential and an important evolutionary node animal group. Thus, exploring the spatial and seasonal variations in cephalopod distribution and their associations with environmental factors is important for elucidating cephalopod diversity and the distribution of cephalopods under changing environmental conditions and for developing reasonable resource management and conservation measures.MethodsOn the basis of trawl survey data from 123 stations in the coastal waters of Zhejiang, China, in the spring and autumn of 2021, the relationships among the cephalopod species composition and diversity characteristics and the spatial and seasonal changes and environmental factors were investigated via the relative importance index (IRI), the alpha diversity index, and the GAM.ResultsThe results revealed that the cephalopods in the coastal waters of Zhejiang belonged to three orders, six families, and 10 genera and that the dominant species were gradually replaced by species of minor economic importance and endemic small-scale fishery species. …”
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  17. 97
  18. 98

    Syntactic Analysis of Spatial Structure Characteristics of Traditional Villages Along the Yellow River in Western Shanxi Province by Chenge GAO, Fang WANG

    Published 2025-05-01
    “…The spatial structure of traditional villages creates or constrains space through the interplay of local and global aspects, nodes and networks, connectivity and isolation, and structural integrity and fragmentation. …”
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  19. 99
  20. 100

    Prognostic Impact of Klintrup–Mäkinen (KM) Score in Gastric Cancer and Its Association with Pathological Parameters by Andreea-Raluca Cozac-Szőke, Georgian-Nicolae Radu, Anca Negovan, Dan Alexandru Cozac, Sabin Turdean, Andreea-Cătălina Tinca, Emőke-Andrea Szász, Iuliu-Gabriel Cocuz, Adrian-Horațiu Sabău, Raluca Niculescu, Diana Maria Chiorean, Alexandru Nicușor Tomuț, Ovidiu Simion Cotoi

    Published 2025-04-01
    “…Patients with low KM grades demonstrated significantly more aggressive tumor features, including a higher prevalence of Borrmann classification types III-IV (75.8% vs. 54.9%, <i>p</i> = 0.01), poorly differentiated histology (74.1% vs. 33.8%, <i>p</i> < 0.0001), advanced T stage (93.5% vs. 80.2%, <i>p</i> = 0.04), and lymph node involvement (87% vs. 60.5%, <i>p</i> = 0.0008). …”
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